{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hull Moving Average Strategy testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import fxcmpy\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "\n",
    "#IMPORTING Hull Moving Average from pyti\n",
    "from pyti.hull_moving_average import hull_moving_average as hma\n",
    "\n",
    "# Allows for printing the whole data frame\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connecting and retrieving historical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#set connection\n",
    "con = fxcmpy.fxcmpy(config_file='fxcm.cfg')\n",
    "\n",
    "#get candle data 2016-01-01 to 2018-06-19\n",
    "df = con.get_candles('GBP/JPY', period='D1',start= dt.datetime(2016, 1, 1),end = dt.datetime(2018, 6, 19))\n",
    "\n",
    "#check connection\n",
    "con.is_connected()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bidopen</th>\n",
       "      <th>bidclose</th>\n",
       "      <th>bidhigh</th>\n",
       "      <th>bidlow</th>\n",
       "      <th>askopen</th>\n",
       "      <th>askclose</th>\n",
       "      <th>askhigh</th>\n",
       "      <th>asklow</th>\n",
       "      <th>tickqty</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-03 22:00:00</th>\n",
       "      <td>177.097</td>\n",
       "      <td>177.077</td>\n",
       "      <td>177.258</td>\n",
       "      <td>176.937</td>\n",
       "      <td>177.170</td>\n",
       "      <td>177.216</td>\n",
       "      <td>177.418</td>\n",
       "      <td>177.099</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04 22:00:00</th>\n",
       "      <td>177.077</td>\n",
       "      <td>175.673</td>\n",
       "      <td>177.361</td>\n",
       "      <td>174.948</td>\n",
       "      <td>177.216</td>\n",
       "      <td>175.888</td>\n",
       "      <td>177.392</td>\n",
       "      <td>174.978</td>\n",
       "      <td>459149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05 22:00:00</th>\n",
       "      <td>175.673</td>\n",
       "      <td>174.657</td>\n",
       "      <td>176.156</td>\n",
       "      <td>174.081</td>\n",
       "      <td>175.888</td>\n",
       "      <td>174.779</td>\n",
       "      <td>176.181</td>\n",
       "      <td>174.101</td>\n",
       "      <td>400798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06 22:00:00</th>\n",
       "      <td>174.657</td>\n",
       "      <td>173.305</td>\n",
       "      <td>174.911</td>\n",
       "      <td>173.087</td>\n",
       "      <td>174.779</td>\n",
       "      <td>173.366</td>\n",
       "      <td>174.949</td>\n",
       "      <td>173.117</td>\n",
       "      <td>509936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07 22:00:00</th>\n",
       "      <td>173.305</td>\n",
       "      <td>171.904</td>\n",
       "      <td>173.750</td>\n",
       "      <td>170.745</td>\n",
       "      <td>173.366</td>\n",
       "      <td>172.093</td>\n",
       "      <td>173.790</td>\n",
       "      <td>170.774</td>\n",
       "      <td>562551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     bidopen  bidclose  bidhigh   bidlow  askopen  askclose  \\\n",
       "date                                                                          \n",
       "2016-01-03 22:00:00  177.097   177.077  177.258  176.937  177.170   177.216   \n",
       "2016-01-04 22:00:00  177.077   175.673  177.361  174.948  177.216   175.888   \n",
       "2016-01-05 22:00:00  175.673   174.657  176.156  174.081  175.888   174.779   \n",
       "2016-01-06 22:00:00  174.657   173.305  174.911  173.087  174.779   173.366   \n",
       "2016-01-07 22:00:00  173.305   171.904  173.750  170.745  173.366   172.093   \n",
       "\n",
       "                     askhigh   asklow  tickqty  \n",
       "date                                            \n",
       "2016-01-03 22:00:00  177.418  177.099      768  \n",
       "2016-01-04 22:00:00  177.392  174.978   459149  \n",
       "2016-01-05 22:00:00  176.181  174.101   400798  \n",
       "2016-01-06 22:00:00  174.949  173.117   509936  \n",
       "2016-01-07 22:00:00  173.790  170.774   562551  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#look into data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define HMA strategy\n",
    "\n",
    "Hull MA documentation reference: https://tradingsim.com/blog/hull-ma/\n",
    "\n",
    "The simple moving average (SMA), exponential moving averages (EMA) and weighted moving averages (WMA) are all lag when identifying the trend.  Conversely, the Hull MA is a step above these indicators as it is more dynamic in regards to price activity, while maintaining a smooth curve. -- almost no lag, better success rate\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define pip cost and lot size\n",
    "pip_cost = .0911\n",
    "lot_size = 10\n",
    "\n",
    "# Define EMA Fast / Slow parameters\n",
    "fast = 9\n",
    "slow = 18\n",
    "\n",
    "# HMA fast and slow calculation\n",
    "df['hma_fast'] = hma(df['askclose'], fast)\n",
    "df['hma_slow'] = hma(df['askclose'], slow)\n",
    "\n",
    "# Entry signals when HMA(fast) corsses above the HMA(slow). Sell signals when HMA(fast) crossed below the HMA(slow).\n",
    "df['signal'] = np.where(df['hma_fast'] > df['hma_slow'], 1, 0)\n",
    "df['position'] = df['signal'].diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bidopen</th>\n",
       "      <th>bidclose</th>\n",
       "      <th>bidhigh</th>\n",
       "      <th>bidlow</th>\n",
       "      <th>askopen</th>\n",
       "      <th>askclose</th>\n",
       "      <th>askhigh</th>\n",
       "      <th>asklow</th>\n",
       "      <th>tickqty</th>\n",
       "      <th>hma_fast</th>\n",
       "      <th>hma_slow</th>\n",
       "      <th>signal</th>\n",
       "      <th>position</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-14 21:00:00</th>\n",
       "      <td>147.561</td>\n",
       "      <td>146.647</td>\n",
       "      <td>147.844</td>\n",
       "      <td>146.636</td>\n",
       "      <td>147.616</td>\n",
       "      <td>146.773</td>\n",
       "      <td>147.869</td>\n",
       "      <td>146.679</td>\n",
       "      <td>313636</td>\n",
       "      <td>147.399404</td>\n",
       "      <td>147.715936</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-15 21:00:00</th>\n",
       "      <td>146.647</td>\n",
       "      <td>146.878</td>\n",
       "      <td>147.057</td>\n",
       "      <td>146.290</td>\n",
       "      <td>146.773</td>\n",
       "      <td>147.041</td>\n",
       "      <td>147.079</td>\n",
       "      <td>146.310</td>\n",
       "      <td>275065</td>\n",
       "      <td>147.239426</td>\n",
       "      <td>147.645003</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-17 21:00:00</th>\n",
       "      <td>146.699</td>\n",
       "      <td>146.772</td>\n",
       "      <td>146.773</td>\n",
       "      <td>146.631</td>\n",
       "      <td>146.856</td>\n",
       "      <td>146.931</td>\n",
       "      <td>146.931</td>\n",
       "      <td>146.783</td>\n",
       "      <td>27</td>\n",
       "      <td>147.018759</td>\n",
       "      <td>147.503110</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-18 21:00:00</th>\n",
       "      <td>146.322</td>\n",
       "      <td>146.389</td>\n",
       "      <td>146.632</td>\n",
       "      <td>146.097</td>\n",
       "      <td>146.347</td>\n",
       "      <td>146.466</td>\n",
       "      <td>146.653</td>\n",
       "      <td>146.116</td>\n",
       "      <td>119243</td>\n",
       "      <td>146.736389</td>\n",
       "      <td>147.297669</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-19 21:00:00</th>\n",
       "      <td>146.388</td>\n",
       "      <td>144.944</td>\n",
       "      <td>146.463</td>\n",
       "      <td>144.379</td>\n",
       "      <td>146.465</td>\n",
       "      <td>145.037</td>\n",
       "      <td>146.505</td>\n",
       "      <td>144.399</td>\n",
       "      <td>446943</td>\n",
       "      <td>146.073752</td>\n",
       "      <td>146.912989</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     bidopen  bidclose  bidhigh   bidlow  askopen  askclose  \\\n",
       "date                                                                          \n",
       "2018-06-14 21:00:00  147.561   146.647  147.844  146.636  147.616   146.773   \n",
       "2018-06-15 21:00:00  146.647   146.878  147.057  146.290  146.773   147.041   \n",
       "2018-06-17 21:00:00  146.699   146.772  146.773  146.631  146.856   146.931   \n",
       "2018-06-18 21:00:00  146.322   146.389  146.632  146.097  146.347   146.466   \n",
       "2018-06-19 21:00:00  146.388   144.944  146.463  144.379  146.465   145.037   \n",
       "\n",
       "                     askhigh   asklow  tickqty    hma_fast    hma_slow  \\\n",
       "date                                                                     \n",
       "2018-06-14 21:00:00  147.869  146.679   313636  147.399404  147.715936   \n",
       "2018-06-15 21:00:00  147.079  146.310   275065  147.239426  147.645003   \n",
       "2018-06-17 21:00:00  146.931  146.783       27  147.018759  147.503110   \n",
       "2018-06-18 21:00:00  146.653  146.116   119243  146.736389  147.297669   \n",
       "2018-06-19 21:00:00  146.505  144.399   446943  146.073752  146.912989   \n",
       "\n",
       "                     signal  position  \n",
       "date                                   \n",
       "2018-06-14 21:00:00       0       0.0  \n",
       "2018-06-15 21:00:00       0       0.0  \n",
       "2018-06-17 21:00:00       0       0.0  \n",
       "2018-06-18 21:00:00       0       0.0  \n",
       "2018-06-19 21:00:00       0       0.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Backtesting -- simple method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The return for trade 1 is: 331\n",
      "The return for trade 2 is: -206\n",
      "The return for trade 3 is: 178\n",
      "The return for trade 4 is: -88\n",
      "The return for trade 5 is: -97\n",
      "The return for trade 6 is: 768\n",
      "The return for trade 7 is: 218\n",
      "The return for trade 8 is: 32\n",
      "The return for trade 9 is: 148\n",
      "The return for trade 10 is: -246\n",
      "The return for trade 11 is: -847\n",
      "The return for trade 12 is: -472\n",
      "The return for trade 13 is: 795\n",
      "The return for trade 14 is: -132\n",
      "The return for trade 15 is: 569\n",
      "The return for trade 16 is: 0\n",
      "The return for trade 17 is: 123\n",
      "The return for trade 18 is: 774\n",
      "The return for trade 19 is: 243\n",
      "The return for trade 20 is: 79\n",
      "The return for trade 21 is: 140\n",
      "The return for trade 22 is: -112\n",
      "The return for trade 23 is: 204\n",
      "The return for trade 24 is: 98\n",
      "The return for trade 25 is: -114\n",
      "The return for trade 26 is: -88\n",
      "The return for trade 27 is: 24\n",
      "The return for trade 28 is: -31\n",
      "The return for trade 29 is: 667\n",
      "The return for trade 30 is: 32\n",
      "The return for trade 31 is: -193\n",
      "The return for trade 32 is: -81\n",
      "The return for trade 33 is: 18\n",
      "The return for trade 34 is: -30\n",
      "The return for trade 35 is: 432\n",
      "The return for trade 36 is: -126\n",
      "The return for trade 37 is: -106\n",
      "The return for trade 38 is: -144\n",
      "The return for trade 39 is: 160\n",
      "The return for trade 40 is: 787\n",
      "The return for trade 41 is: 61\n",
      "The return for trade 42 is: 173\n",
      "The return for trade 43 is: -178\n",
      "The return for trade 44 is: 25\n",
      "The return for trade 45 is: 212\n",
      "The return for trade 46 is: 132\n",
      "The return for trade 47 is: 204\n",
      "The return for trade 48 is: -245\n",
      "The return for trade 49 is: -47\n",
      "The return for trade 50 is: 18\n",
      "The return for trade 51 is: -111\n",
      "The return for trade 52 is: -6\n",
      "The return for trade 53 is: 178\n",
      "The return for trade 54 is: -193\n",
      "The return for trade 55 is: 116\n",
      "The return for trade 56 is: 228\n",
      "The return for the period is: 4280\n"
     ]
    }
   ],
   "source": [
    "begin_prices = []\n",
    "end_prices = []\n",
    "profits = 0\n",
    "\n",
    "# get open/close price for each open position\n",
    "for i, row in df.iterrows():\n",
    "    if row['position'] == 1:\n",
    "        begin_prices.append(float(row['askopen']))\n",
    "    if row['position'] == -1:\n",
    "        end_prices.append(float(row['askopen']))\n",
    "\n",
    "# Calculating the profit / loss\n",
    "for i in range(len(begin_prices)):\n",
    "    profit = (end_prices[i] - begin_prices[i]) * 100 * pip_cost * lot_size\n",
    "    profits += profit\n",
    "    print(\"The return for trade \" + str(i + 1) + \" is: \" + str(int(profit)))\n",
    "    \n",
    "print(\"The return for the period is: \" + str(int(profits)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Backtesting -- more advanced method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# what happens with the positions while they're open, as well\n",
    "\n",
    "returns = 0\n",
    "\n",
    "# Gets the number of pips that the market moved during the day\n",
    "df['difference (pips)'] = (df['askclose'] - df['askopen']) * 100\n",
    "#df['p/l'] = df['difference'] * pip_cost * lot_size\n",
    "\n",
    "# Calculates the daily return while a position is active\n",
    "# 'Total' column records our running profit / loss for the strategy\n",
    "for i, row in df.iterrows():\n",
    "    if row['signal'] == 1:\n",
    "        returns += (row['difference (pips)'] * pip_cost * lot_size)\n",
    "        df.loc[i,'total'] = returns\n",
    "    else:\n",
    "        df.loc[i,'total'] = returns\n",
    "        \n",
    "#################don't actually understand the logic here: why do we calculate everyday p/l??  we are not trading every day. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bidopen</th>\n",
       "      <th>bidclose</th>\n",
       "      <th>bidhigh</th>\n",
       "      <th>bidlow</th>\n",
       "      <th>askopen</th>\n",
       "      <th>askclose</th>\n",
       "      <th>askhigh</th>\n",
       "      <th>asklow</th>\n",
       "      <th>tickqty</th>\n",
       "      <th>hma_fast</th>\n",
       "      <th>hma_slow</th>\n",
       "      <th>signal</th>\n",
       "      <th>position</th>\n",
       "      <th>difference (pips)</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-14 21:00:00</th>\n",
       "      <td>147.561</td>\n",
       "      <td>146.647</td>\n",
       "      <td>147.844</td>\n",
       "      <td>146.636</td>\n",
       "      <td>147.616</td>\n",
       "      <td>146.773</td>\n",
       "      <td>147.869</td>\n",
       "      <td>146.679</td>\n",
       "      <td>313636</td>\n",
       "      <td>147.399404</td>\n",
       "      <td>147.715936</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-84.3</td>\n",
       "      <td>4296.7315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-15 21:00:00</th>\n",
       "      <td>146.647</td>\n",
       "      <td>146.878</td>\n",
       "      <td>147.057</td>\n",
       "      <td>146.290</td>\n",
       "      <td>146.773</td>\n",
       "      <td>147.041</td>\n",
       "      <td>147.079</td>\n",
       "      <td>146.310</td>\n",
       "      <td>275065</td>\n",
       "      <td>147.239426</td>\n",
       "      <td>147.645003</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.8</td>\n",
       "      <td>4296.7315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-17 21:00:00</th>\n",
       "      <td>146.699</td>\n",
       "      <td>146.772</td>\n",
       "      <td>146.773</td>\n",
       "      <td>146.631</td>\n",
       "      <td>146.856</td>\n",
       "      <td>146.931</td>\n",
       "      <td>146.931</td>\n",
       "      <td>146.783</td>\n",
       "      <td>27</td>\n",
       "      <td>147.018759</td>\n",
       "      <td>147.503110</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>4296.7315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-18 21:00:00</th>\n",
       "      <td>146.322</td>\n",
       "      <td>146.389</td>\n",
       "      <td>146.632</td>\n",
       "      <td>146.097</td>\n",
       "      <td>146.347</td>\n",
       "      <td>146.466</td>\n",
       "      <td>146.653</td>\n",
       "      <td>146.116</td>\n",
       "      <td>119243</td>\n",
       "      <td>146.736389</td>\n",
       "      <td>147.297669</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>4296.7315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-19 21:00:00</th>\n",
       "      <td>146.388</td>\n",
       "      <td>144.944</td>\n",
       "      <td>146.463</td>\n",
       "      <td>144.379</td>\n",
       "      <td>146.465</td>\n",
       "      <td>145.037</td>\n",
       "      <td>146.505</td>\n",
       "      <td>144.399</td>\n",
       "      <td>446943</td>\n",
       "      <td>146.073752</td>\n",
       "      <td>146.912989</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-142.8</td>\n",
       "      <td>4296.7315</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     bidopen  bidclose  bidhigh   bidlow  askopen  askclose  \\\n",
       "date                                                                          \n",
       "2018-06-14 21:00:00  147.561   146.647  147.844  146.636  147.616   146.773   \n",
       "2018-06-15 21:00:00  146.647   146.878  147.057  146.290  146.773   147.041   \n",
       "2018-06-17 21:00:00  146.699   146.772  146.773  146.631  146.856   146.931   \n",
       "2018-06-18 21:00:00  146.322   146.389  146.632  146.097  146.347   146.466   \n",
       "2018-06-19 21:00:00  146.388   144.944  146.463  144.379  146.465   145.037   \n",
       "\n",
       "                     askhigh   asklow  tickqty    hma_fast    hma_slow  \\\n",
       "date                                                                     \n",
       "2018-06-14 21:00:00  147.869  146.679   313636  147.399404  147.715936   \n",
       "2018-06-15 21:00:00  147.079  146.310   275065  147.239426  147.645003   \n",
       "2018-06-17 21:00:00  146.931  146.783       27  147.018759  147.503110   \n",
       "2018-06-18 21:00:00  146.653  146.116   119243  146.736389  147.297669   \n",
       "2018-06-19 21:00:00  146.505  144.399   446943  146.073752  146.912989   \n",
       "\n",
       "                     signal  position  difference (pips)      total  \n",
       "date                                                                 \n",
       "2018-06-14 21:00:00       0       0.0              -84.3  4296.7315  \n",
       "2018-06-15 21:00:00       0       0.0               26.8  4296.7315  \n",
       "2018-06-17 21:00:00       0       0.0                7.5  4296.7315  \n",
       "2018-06-18 21:00:00       0       0.0               11.9  4296.7315  \n",
       "2018-06-19 21:00:00       0       0.0             -142.8  4296.7315  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizations - Trading Signals and Returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1728x1152 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "fig = plt.figure(figsize=(24,16))\n",
    "ax1 = fig.add_subplot(111,  ylabel='GBP/JPY Price')\n",
    "\n",
    "# Plotting market prices and moving averages\n",
    "df['askclose'].plot(ax=ax1, color='r', lw=1.)\n",
    "df[['hma_fast', 'hma_slow']].plot(ax=ax1, lw=2.)\n",
    "\n",
    "# Placing purple markers for position entry\n",
    "ax1.plot(df.loc[df.position == 1.0].index, \n",
    "         df.hma_fast[df.position == 1.0],\n",
    "         '^', markersize=10, color='m')\n",
    "\n",
    "# Placing black markers for position exit\n",
    "ax1.plot(df.loc[df.position == -1.0].index, \n",
    "         df.hma_slow[df.position == -1.0],\n",
    "         'v', markersize=10, color='k')\n",
    "\n",
    "# Plotting of returns\n",
    "ax2 = ax1.twinx()\n",
    "ax2.grid(False)\n",
    "ax2.set_ylabel('Profits in $')\n",
    "ax2.plot(df['total'], color = 'green')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graph of Hull MA strategy above shows fewer lags than EMA strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
